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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Cannot write struct type 'model_kwargs' with no child field to Parquet. Consider adding a dummy child field.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 578, in write_table
                  self._build_writer(inferred_schema=pa_table.schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 399, in _build_writer
                  self.pa_writer = self._WRITER_CLASS(self.stream, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'model_kwargs' with no child field to Parquet. Consider adding a dummy child field.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1885, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 597, in finalize
                  self._build_writer(self.schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 399, in _build_writer
                  self.pa_writer = self._WRITER_CLASS(self.stream, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'model_kwargs' with no child field to Parquet. Consider adding a dummy child field.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1392, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1041, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 999, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1740, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1896, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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config
dict
report
dict
name
string
backend
dict
scenario
dict
launcher
dict
environment
dict
print_report
bool
log_report
bool
load
dict
prefill
dict
decode
dict
per_token
dict
{ "name": "2024-10-10-13-15-21/openvino", "backend": { "name": "openvino", "version": "2024.4.0", "_target_": "optimum_benchmark.backends.openvino.backend.OVBackend", "task": "text-generation", "library": "transformers", "model_type": "llama", "model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0...
{ "load": { "memory": { "unit": "MB", "max_ram": 4841.96352, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 25.399079136550426 ], "count": 1, "...
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2024-10-10-13-15-21/openvino
{ "name": "openvino", "version": "2024.4.0", "_target_": "optimum_benchmark.backends.openvino.backend.OVBackend", "task": "text-generation", "library": "transformers", "model_type": "llama", "model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "processor": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "device": "cp...
{ "name": "inference", "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", "iterations": 10, "duration": 10, "warmup_runs": 10, "input_shapes": { "batch_size": 2, "num_choices": 2, "sequence_length": 16 }, "new_tokens": null, "memory": true, "latency": true, ...
{ "name": "process", "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", "device_isolation": false, "device_isolation_action": null, "numactl": true, "numactl_kwargs": { "cpunodebind": 0, "membind": 0 }, "start_method": "spawn" }
{ "cpu": " AMD EPYC 7R13 Processor", "cpu_count": 64, "cpu_ram_mb": 529717.026816, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.10.205-195.807.amzn2.x86_64-x86_64-with-glibc2.36", "processor": "", "python_version": "3.10.15", "optimum_benchmark_version": "0.5.0", "optimum_benchmark_c...
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{ "memory": { "unit": "MB", "max_ram": 4841.96352, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 25.399079136550426 ], "count": 1, "total": 25.399079136550426, "mean": 25...
{ "memory": { "unit": "MB", "max_ram": 3465.314304, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.20681462809443474, 0.14498980715870857, 0.1491953432559967, 0.142987...
{ "memory": { "unit": "MB", "max_ram": 3465.314304, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 3.7909555956721306, 1.7467840760946274, 1.8483475632965565, 3.08324761...
{ "memory": null, "latency": { "unit": "s", "values": [ 0.1709301434457302, 0.13552312925457954, 0.17639076337218285, 0.12885065376758575, 0.18046993762254715, 0.17862163111567497, 0.11986216530203819, 0.029551289975643158, 0.07815691828727722, 0.0...
{ "name": "2024-10-10-13-15-21/pytorch", "backend": { "name": "pytorch", "version": "2.4.1", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "text-generation", "library": "transformers", "model_type": "llama", "model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"...
{ "load": { "memory": { "unit": "MB", "max_ram": 7341.576192, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 3.724861901253462 ], "count": 1, "...
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2024-10-10-13-15-21/pytorch
{ "name": "pytorch", "version": "2.4.1", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "text-generation", "library": "transformers", "model_type": "llama", "model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "processor": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "device": "cp...
{ "name": "inference", "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", "iterations": 10, "duration": 10, "warmup_runs": 10, "input_shapes": { "batch_size": 2, "num_choices": 2, "sequence_length": 16 }, "new_tokens": null, "memory": true, "latency": true, ...
{ "name": "process", "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", "device_isolation": false, "device_isolation_action": null, "numactl": true, "numactl_kwargs": { "cpunodebind": 0, "membind": 0 }, "start_method": "spawn" }
{ "cpu": " AMD EPYC 7R13 Processor", "cpu_count": 64, "cpu_ram_mb": 529717.026816, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.10.205-195.807.amzn2.x86_64-x86_64-with-glibc2.36", "processor": "", "python_version": "3.10.15", "optimum_benchmark_version": "0.5.0", "optimum_benchmark_c...
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{ "memory": { "unit": "MB", "max_ram": 7341.576192, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 3.724861901253462 ], "count": 1, "total": 3.724861901253462, "mean": 3.7...
{ "memory": { "unit": "MB", "max_ram": 5306.855424, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.7200786955654621, 0.792355839163065, 2.4664254635572433, 0.694083433...
{ "memory": { "unit": "MB", "max_ram": 5306.855424, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 14.600170020014048, 10.227855522185564, 14.517007939517498, 10.3927390...
{ "memory": null, "latency": { "unit": "s", "values": [ 0.4060986116528511, 0.3879626765847206, 0.38639020919799805, 0.3389683812856674, 0.3950040340423584, 0.3980884477496147, 0.4014359675347805, 0.408795777708292, 0.30595654249191284, 0.299078408...
{ "name": "2024-10-10-13-27-38/openvino", "backend": { "name": "openvino", "version": "2024.4.0", "_target_": "optimum_benchmark.backends.openvino.backend.OVBackend", "task": "text-generation", "library": "transformers", "model_type": "qwen2", "model": "Qwen/Qwen2.5-7B-Instruct", "pr...
{ "load": { "memory": { "unit": "MB", "max_ram": 28568.141824, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 85.84128818660975 ], "count": 1, ...
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2024-10-10-13-27-38/openvino
{ "name": "openvino", "version": "2024.4.0", "_target_": "optimum_benchmark.backends.openvino.backend.OVBackend", "task": "text-generation", "library": "transformers", "model_type": "qwen2", "model": "Qwen/Qwen2.5-7B-Instruct", "processor": "Qwen/Qwen2.5-7B-Instruct", "device": "cpu", "device_ids": ...
{ "name": "inference", "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", "iterations": 10, "duration": 10, "warmup_runs": 10, "input_shapes": { "batch_size": 2, "num_choices": 2, "sequence_length": 16 }, "new_tokens": null, "memory": true, "latency": true, ...
{ "name": "process", "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", "device_isolation": false, "device_isolation_action": null, "numactl": true, "numactl_kwargs": { "cpunodebind": 0, "membind": 0 }, "start_method": "spawn" }
{ "cpu": " AMD EPYC 7R13 Processor", "cpu_count": 64, "cpu_ram_mb": 529717.026816, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.10.205-195.807.amzn2.x86_64-x86_64-with-glibc2.36", "processor": "", "python_version": "3.10.15", "optimum_benchmark_version": "0.5.0", "optimum_benchmark_c...
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{ "memory": { "unit": "MB", "max_ram": 28568.141824, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 85.84128818660975 ], "count": 1, "total": 85.84128818660975, "mean": 85...
{ "memory": { "unit": "MB", "max_ram": 17400.188928, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 1.155863493680954, 0.7591285742819309, 0.7738370560109615, 0.75509426...
{ "memory": { "unit": "MB", "max_ram": 17400.459264, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 6.200990695506334, 5.851446453481913, 6.216963429003954, 5.7086634449...
{ "memory": null, "latency": { "unit": "s", "values": [ 0.4139234870672226, 0.41735056415200233, 0.30081597715616226, 0.1818118579685688, 0.15186486765742302, 0.23906059190630913, 0.15295346081256866, 0.16011932492256165, 0.2003607526421547, 0.1834...
{ "name": "2024-10-10-13-27-38/pytorch", "backend": { "name": "pytorch", "version": "2.4.1", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "text-generation", "library": "transformers", "model_type": "qwen2", "model": "Qwen/Qwen2.5-7B-Instruct", "pro...
{ "load": { "memory": { "unit": "MB", "max_ram": 35904.417792, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 17.653250481933355 ], "count": 1, ...
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2024-10-10-13-27-38/pytorch
{ "name": "pytorch", "version": "2.4.1", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "text-generation", "library": "transformers", "model_type": "qwen2", "model": "Qwen/Qwen2.5-7B-Instruct", "processor": "Qwen/Qwen2.5-7B-Instruct", "device": "cpu", "device_ids": ...
{ "name": "inference", "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", "iterations": 10, "duration": 10, "warmup_runs": 10, "input_shapes": { "batch_size": 2, "num_choices": 2, "sequence_length": 16 }, "new_tokens": null, "memory": true, "latency": true, ...
{ "name": "process", "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", "device_isolation": false, "device_isolation_action": null, "numactl": true, "numactl_kwargs": { "cpunodebind": 0, "membind": 0 }, "start_method": "spawn" }
{ "cpu": " AMD EPYC 7R13 Processor", "cpu_count": 64, "cpu_ram_mb": 529717.026816, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.10.205-195.807.amzn2.x86_64-x86_64-with-glibc2.36", "processor": "", "python_version": "3.10.15", "optimum_benchmark_version": "0.5.0", "optimum_benchmark_c...
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{ "memory": { "unit": "MB", "max_ram": 35904.417792, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 17.653250481933355 ], "count": 1, "total": 17.653250481933355, "mean": ...
{ "memory": { "unit": "MB", "max_ram": 32586.477568, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 7.114257633686066, 6.9122952707111835, 7.246219478547573, 7.030736085...
{ "memory": { "unit": "MB", "max_ram": 32586.477568, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 63.17382514476776, 65.35659051686525, 55.37452078983188, 50.915375493...
{ "memory": null, "latency": { "unit": "s", "values": [ 1.7681835927069187, 3.4078874364495277, 1.8021652027964592, 1.8068931549787521, 2.261068418622017, 1.726471833884716, 1.9878739155828953, 1.5795339308679104, 1.8304941393435001, 1.563472054898...

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